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Found 2 papers, 2 papers with code
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
In this paper, we frame homogeneous-feature multi-task learning (MTL) as a hierarchical representation learning problem, with one task-agnostic and multiple task-specific latent representations.
Understanding Cache Boundness of ML Operators on ARM Processors
Machine Learning compilers like TVM allow a fast and flexible deployment on embedded CPUs.
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